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dictive computer models for medical classification problems using patient data and expert knowledge), several PhD/postdoc & fellow grants; Flemish Government: FWO: PhD/postdoc grants, projects, G.0200.00 (damage detection in composites by optical fibers), G. SUMMARY This paper extends the Weighted Low Rank Approximation (WLRA) approach towards linearly(More)
In this paper we discuss the problem of recovering the vertices of a planar polygon from its measured complex moments. Because the given, measured moments can be noisy, the recovered vertices are only estimates of the true ones. The literature offers many algorithms for solving such an estimation problem. We will restrict our discussion to the Total Least(More)
Van Huffel is a full professor , dr. Philippe Lemmerling is a postdoctoral researcher of the FWO (Fund for Scientific Research – Flanders) and Mieke Schuermans is a research assistant at the Katholieke Universiteit Leuven, Belgium. Our research is supported by Research Council KUL: GOA-Mefisto 666, IDO/99/003 (Predic-tive computer models for medical(More)
A Lanczos–like reduction of symmetric structured matrices into semiseparable ones Abstract An algorithm that transforms symmetric matrices into similar semiseparable ones has been proposed recently. Similarly to the Householder reduction, the latter algorithm works without taking into account the structure of the original matrix. In this paper we propose a(More)
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